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ALIS: Algorithmic Library for Scalability
=========================================

ALIS: Algorithmic Library for Scalability is a Python package and a good accompanying reference for Leskovec, Rajaraman, and Ullman's `Mining of Massive Datasets <http://www.mmds.org/>`_. This book currently covers topics from Chapters 3 through 5, and Chapter 10 of the reference.

This book provides:

1. Additional mathematical and code examples
2. Additional exercises both theoretical and practical
3. Re-useable API for scalable data mining

ALIS is inspired by the `Dive into Deep Learning <https://d2l.ai/index.html>`_ interactive book with code, math, and discussion.

Authors
-------
ALIS is proudly made by the Asian Institute of Management's PhDinDS batch 2024

- Leodegario Lorenzo II
- Michael Dorosan
- Joseph Christian Noel
- Antonio Briza
- Ranzivelle Marianne Roxas-Villanueva

with supervision of our Professor Christian Alis, PhD.

.. toctree::
   :maxdepth: 1

   introduction
   installation

.. toctree::
   :maxdepth: 1
   :caption: Contents
   
   finding-similar-items/index
   stream-mining/index
   link-analysis/index
   social-network-graphs/index
   bibliography

.. toctree::
   :caption: API Reference
   :maxdepth: 1

   api-docs/feature_extraction/index
   api-docs/similarity/index
   api-docs/stream_mining/index
   api-docs/link_analysis/index
   api-docs/network_tools/index


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`